文献类型：专利

英文题名：Method for constructing crude oil properties fast predicting model by utilizing optical fiber probe, involves establishing mathematical association model between oil properties and near infrared spectrum data by using partial least squares

作者：QIAN F;ZHONG W;LONG J;YANG M;DU W

机构：[1]UNIV EAST CHINA SCI & TECHNOLOGY

申请号：CN107860743-A

申请日：2017-10-20

公开日：2018-03-30

语种：英文

收录：DERWENT

摘要：NOVELTY - The method involves constructing a crude oil calibration set for measuring crude oil correction property. Crude oil near infrared spectrum data is collected by a reflective optical fiber probe. Spectrum data is obtained based on first-order differential. Principal component analysis process is performed for selecting a pre-processed training set sample. A specific spectrum band is selected according to crude oil properties. A mathematical association model between the crude oil properties and the near infrared spectrum data is established by using partial least squares. USE - Method for constructing a crude oil properties fast predicting model by utilizing a reflection type near infrared optical fiber probe. ADVANTAGE - The method enables reducing complicated steps of sample pre-treatment and near infrared spectrum noise to improve quantitative analysis model precision and select a near infrared apparatus and a reflection type near infrared optical fiber probe so as to complete offline/online crude oil properties quick analyzing process in a simple manner. DESCRIPTION OF DRAWING(S) - The drawing shows a flow diagram illustrating a method for constructing a crude oil properties fast predicting model by utilizing a reflection type near infrared optical fiber probe. '(Drawing includes non-English language text)'